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Program overview
Online
On-site
Hybrid
AI Driven CI/CD Pipeline using GitHub Actions
Build a strong foundation in enterprise CI/CD using GitHub Actions, from workflow design to secure automation and DevSecOps quality gates. Learn how to scale delivery using reusable workflows, caching, approvals, traceability, and AI-assisted troubleshooting to build reliable, auditable pipelines.
Duration:
3d
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
- DevOps Engineers
- Platform Engineers
- SRE teams
- Backend / full-stack developers
- Security teams supporting pipeline governance
- Engineering leaders adopting GitHub Enterprise
Training Objectives
- Understand modern CI/CD pipeline fundamentals and enterprise requirements.
- Build CI pipelines in GitHub Actions including build, unit tests, lint checks, and artifact packaging.
- Build secure CD workflows using environments, approvals, protected branches, and controlled deployments.
- Use AI to accelerate pipeline creation: generate YAML templates, create reusable workflows, and suggest improvements.
- Use AI for troubleshooting: interpret build failures and recommend fixes for YAML and configuration issues.
- Integrate DevSecOps controls: dependency scanning, secret scanning concepts, container scanning, and optional IaC scanning.
- Optimize pipelines using caching, artifact reuse, and matrix testing.
- Apply enterprise automation practices: reusable workflows, organization standards, auditability, and traceability.
- Deliver a complete AI-assisted CI/CD workflow as a capstone.
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Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- Module 1: CI/CD Fundamentals (Enterprise Requirements)
- What CI/CD solves in modern engineering organizations
- Enterprise CI/CD requirements (speed, reliability, compliance, traceability)
- Pipeline concepts (stages, jobs, steps, runners, artifacts)
- Branching strategies (feature branching, trunk-based concepts)
- Hands-on: Activity: Map an enterprise CI/CD workflow from commit to production release
- Module 2: Building CI Pipelines in GitHub Actions (Build + Test + Lint + Artifacts)
- GitHub Actions workflow structure (triggers, jobs, steps)
- Build and unit test automation patterns
- Lint checks and code quality gates
- Artifact packaging and uploading for downstream jobs
- Hands-on: Lab: Create a CI workflow that builds, runs tests, runs lint, and publishes artifacts
- Module 3: Secure CD Workflows (Environments, Approvals, Protected Branches)
- CD workflow design principles (safe, controlled, auditable)
- GitHub Environments and environment protection rules
- Approvals and manual gates for production deployments
- Protected branches and required status checks
- Hands-on: Lab: Implement a controlled CD workflow with environment approvals and protected main branch
- Module 4: AI-Assisted Pipeline Creation (YAML Templates and Reusable Workflows)
- Using AI to scaffold GitHub Actions YAML quickly
- Generating reusable workflows and templates
- Refactoring pipelines for readability and maintainability
- AI-driven suggestions for best practices and improvements
- Hands-on: Lab: Generate a pipeline template using AI and convert it into a reusable workflow
- Module 5: AI-Assisted Troubleshooting (Failures and Fix Recommendations)
- Reading GitHub Actions logs and common failure patterns
- Fixing YAML syntax and workflow configuration issues
- Dependency and environment troubleshooting in CI
- Using AI to identify root cause and propose fixes
- Hands-on: Lab: Break a pipeline intentionally and use AI to troubleshoot and fix it
- Module 6: DevSecOps Controls in GitHub Actions (Scan and Enforce)
- Dependency scanning concepts (SCA) and severity thresholds
- Secret scanning concepts and prevention patterns
- Container scanning workflow (image scan in CI)
- Optional IaC scanning concepts (Terraform checks)
- Hands-on: Lab: Add DevSecOps checks to CI and fail builds on critical vulnerabilities
- Module 7: Pipeline Optimization (Caching, Artifact Reuse, Matrix Testing)
- Caching dependencies to speed up pipelines
- Artifact reuse across jobs and stages
- Matrix testing strategies for multi-version builds
- Balancing speed vs confidence in enterprise pipelines
- Hands-on: Lab: Optimize CI using caching + matrix builds and compare run times
- Module 8: Enterprise Automation Practices (Standards, Auditability, Traceability)
- Reusable workflows and organization-wide standards
- Versioning pipelines and governance for workflow changes
- Audit trails and traceable deployments (who deployed what, when)
- Secrets handling and least privilege permissions for runners
- Hands-on: Workshop: Design a standard CI/CD blueprint for an organization with audit requirements
- Module 9: Capstone Project (AI-Assisted CI/CD Workflow)
- Capstone goal: Deliver an enterprise-style CI/CD pipeline with AI assistance
- CI: build, unit test, lint, artifact packaging
- CD: environments, approvals, protected branches, controlled deployment
- DevSecOps checks integrated (SCA, secrets scanning, container scan, optional IaC scan)
- Hands-on: Capstone Lab: Build and present a complete AI-assisted GitHub Actions CI/CD workflow with evidence
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
1
Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
2
Implementation
Supplementing training with consulting support to ensure implementation in real projects
3
- Faster pipeline delivery: AI accelerates workflow design and YAML authoring without starting from scratch.
- Reduced build failures: AI-assisted troubleshooting helps identify misconfigurations quickly and shorten resolution time.
- Standardized DevOps practices: Reusable workflows and templates improve consistency across teams.
- Improved security posture: Security checks become default gates in pipelines with clear enforcement policies.
- Better developer experience: Faster feedback loops and stable automation reduce friction and boost productivity.
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.